Product Description
A Novel Image Classification Algorithm Using Overcomplete Wavelet Transforms
Abstract— A Novel Image Classification Algorithm Using Overcomplete Wavelet Transforms. A novel frequency-based classification framework and new wavelet algorithm (Wave-CLASS) is proposed using an over complete decomposition procedure. This approach omits the down sampling procedure and produces four-texture information with the same dimension of the original image or window at infinite scale. Three image subsets of Quick Bird data < Final Year Projects 2016 > i.e., park, commercial, and rural over a central region in the city of Phoenix were used to examine the effectiveness of the new wavelet over complete algorithm in comparison with a widely used classical approach (i.e., maximum likelihood). While the maximum-likelihood classifier produced as a 78.29% overall accuracies for all three image subsets.
Including Packages
Our Specialization
Support Service
Statistical Report
![A Novel Image Classification Algorithm Using Overcomplete Wavelet Transforms 5 110](https://myprojectbazaar.com/wp-content/uploads/2013/12/110.jpg)
satisfied customers
3,589![A Novel Image Classification Algorithm Using Overcomplete Wavelet Transforms 6 25](https://myprojectbazaar.com/wp-content/uploads/2013/12/25.jpg)
Freelance projects
983![A Novel Image Classification Algorithm Using Overcomplete Wavelet Transforms 7 311](https://myprojectbazaar.com/wp-content/uploads/2013/12/311.jpg)
sales on Site
11,021![A Novel Image Classification Algorithm Using Overcomplete Wavelet Transforms 8 41](https://myprojectbazaar.com/wp-content/uploads/2013/12/41.jpg)
developers
175+
There are no reviews yet